PCA-Based Region Growing Method and Its Application on Spleen Segmentation
PCA-Based Region Growing Method and Its Application on Spleen Segmentation
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基于PCA的区域生长方法及其在脾脏分割中的应用
DOI：
10.1007/978-3-642-26001-8_89
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Biao Zhang
中科院分区：
文献类型：
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作者：
Huiyan Jiang;Yanhui Zhang;Biao Zhang
医学图像中脾脏的分割是计算机辅助诊断的重要步骤之一。提出了一种基于主成分分析和区域生长的CT图像脾脏自动分割算法。首先，对一组CT图像序列进行PCA训练，并将训练结果用于重建。这一步是能够消除腹部肌肉面积邻近脾脏。其次，利用重建后的模板得到去除腹肌的图像。最后采用区域生长法提取感兴趣的脾脏区域。实验结果表明，基于主成分分析的区域生长方法可以克服传统区域生长方法的过分割问题。
The spleen segmentation in medical images is one of the most important steps for computer aided diagnosis (CAD). In this paper, we propose a novel automatic segmentation algorithm for spleen segmentation in the CT images based on Principal Component Analysis (PCA) and region growing method. Firstly, a set of CT image sequence is trained by PCA and the result is used for reconstruction. This step is able to remove the abdominal muscle area adjacent to spleen. Secondly, we obtain the image without abdominal muscle through the use of the template generated from reconstruction. Finally, we adopt region growing method to extract the interested spleen area. According to the experimental results, the PCA based region growing method can overcome the over-segmentation problem of traditional region growing method.
DOI：
10.1016/j.ics.2005.03.079
发表时间：
2005-05
期刊：
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影响因子：
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作者：
Xiangrong Zhou;T. Kitagawa;K. Okuo;T. Hara;H. Fujita;R. Yokoyama;M. Kanematsu;H. Hoshi
通讯作者：
Xiangrong Zhou;T. Kitagawa;K. Okuo;T. Hara;H. Fujita;R. Yokoyama;M. Kanematsu;H. Hoshi